Efektivitas dan Akurasi Rancangan SINAVA dalam Navigasi Investasi Saham Berbasis Standarisasi Rasio Keuangan Sektor Agribisnis
Date
2026Jenis/Type
Tugas AkhirSubtype
Undergraduate ThesesAuthor
Maslihudin, Anwar
Riswandi, Dadang Iwan
Metadata
Show full item recordAbstract
ANWAR MASLIHUDIN. Efektivitas dan Akurasi Rancangan SINAVA dalam
Navigasi Investasi Saham Berbasis Standarisasi Rasio Keuangan Sektor Agribisnis.
Dibimbing oleh D. IWAN RISWANDI.
Keterbatasan alat analisis fundamental sering memicu information overload
dan bias psikologis investor ritel. Mengatasi hal tersebut, penelitian ini merancang
sistem standarisasi rasio keuangan 18 emiten agribisnis menggunakan metode
Rapid Application Development (RAD). Sistem ini mengintegrasikan 15 parameter
fundamental dan teknikal menggunakan algoritma Simple Additive Weighting
(SAW) melalui Piecewise Normalization ke dalam tiga profil investasi: value,
growth, dan dividend. Sistem lulus 100% uji black box dan mencapai skor User
Acceptance Testing (UAT) 92,81%. Backtesting membuktikan seluruh portofolio
melampaui Indeks Harga Saham Gabungan (IHSG), dengan return tertinggi pada
profil dividend (+50,04%), disusul value (+40,29%), dan growth (+34,24%). Risiko
penurunan maksimal seluruh profil (-10,99% s.d. -14,13%) terbukti lebih tangguh
daripada pelemahan pasar (-17,88%). Validasi pakar mengonfirmasi sistem ini
efektif sebagai navigasi investasi dengan risiko terkendali. ANWAR MASLIHUDIN. Effectiveness and Accuracy of the SINAVA Design in
Navigating Stock Investments Based on Agribusiness Sector Financial Ratio
Standardization. Supervised by D. IWAN RISWANDI.
Limited fundamental analysis tools often trigger information overload and
psychological biases for retail investors. To address this, the study designed a
financial ratio standardization system for 18 agribusiness issuers using the Rapid
Application Development (RAD) method. The system integrates 15 fundamental
and technical parameters using the Simple Additive Weighting (SAW) algorithm
via Piecewise Normalization into three investment profiles: value, growth, and
dividend. The system passed 100% black box testing and achieved a 92.81% User
Acceptance Testing (UAT) score. Backtesting proved all portfolios outperformed
the Jakarta Composite Index (JCI), with the highest return in the dividend profile
(+50.04%), followed by value (+40.29%) and growth (+34.24%). The Maximum
Adverse Excursion (MAE) risk for all profiles (-10.99% to -14.13%) was proven
safer than the market downturn (-17.88%). Expert validation confirmed the system
is effective for risk-controlled investment navigation.
Collections
- UF - Accounting [607]

