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All Journal Teknika Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business International conference on Information Technology and Business (ICITB) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnal Informasi dan Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Applied Data Sciences Jurnal Pengabdian kepada Masyarakat Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Publika Pengabdian Masyarakat NEAR: Jurnal Pengabdian kepada Masyarakat Jurnal PETISI (Pendidikan Teknologi Informasi)
Sushanty Saleh
Institut Informatika Dan Bisnis Darmajaya
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Journal : jurnal informatika

 1 
APLIKASI SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERUMAHAN DENGAN METODE FUZZY TOPSIS MENGGUNAKAN PHP Sushanty Saleh
Jurnal Informatika Vol 12, No 1 (2012): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v12i1.140

Abstract

Belfast city region has an area of ​​197.22 km2 with a total population of 881 801 inhabitants (census 2010), with jiwa/km2 4471,154 population density and population growth rate of 1.79% per year (lampung.bps.go.id). Increasing the number of residents in the city of Bandar Lampung is not followed by increments of land giving rise to problems, especially for housing residents. Topsis Fuzzy methods used to find a recommended ranking of housing alternatives for consumers in the housing selection decisions. Both of the test results and calculations with the Excel program, the alternative selected / recommended by Topsis seen from the low price, land area and building area is quite, and facilities using methods FMADM terpenuhi.Perhitungan Topsis compliance calculations obtained by the application program used for all criteria are calculated on TOPSIS after testing the application program. Keywords: Fuzzy, Topsis, Housing
PERANCANGAN SISTEM INFORMASI PROMOSI DAN TRANSAKSI BUKU BERORIENTASI OBJEK PADA PT`. FAJAR AGUNG INDOCEMERLANG Sushanty Saleh; Hasan Basri
Jurnal Informatika Vol 12, No 2 (2012): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v12i2.119

Abstract

PT. Fajar Agung Indocemerlang is one of company that moved in selling various types of books, stationery and also other office equipment. Promotion process is done by distributing pamphlets, brochures and advertisements in newspapers; meanwhile selling is done by customer come to the shop immediately. In this research, design of information system is developed by using object oriented, that is development tools is used use case and activity diagram that describe system for this time and proposed system. Result of design information system is expected to be implemented in web form which design was given from this research include proposed design system, analysis requirement for hardware, software and cost analysis.Keyword: promotion, object oriented, transaction, design system
PENERAPAN METODE ANALYTIC HIERARCHY PROCESS DALAM PENGUKURAN KINERJA KARYAWAN PADA IBI DARMAJAYA Sushanty Saleh
Jurnal Informatika Vol 13, No 2 (2013): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v13i2.341

Abstract

Lecturer PNS is part of private college as a lecturer helped for Kopertis. Of course it is expected to be an example for other lecturer in each university in implementation for Tridarma High Education or other performance indicator suits for Kopertis rules. Assessment lecturer PNS can be done easily and automatically by using Decision Support System Model suits with criteria determinate by Kopertis, especially Kopertis region II. The model is used Aanalytic Hhierarchy Process Method. Implementation of this model is done through the following phases: data collecting, determinate main criteria and sub criteria in Assessment lecturer, weighting criteria and sub criteria, determinate priorities and implementation by using expert choice. According the application Analytic Hierarchy Process Method can be known that criteria has been defined are education teaching, research, society service and support component.Keyword: performance, AHP, expert choice
Analisis Sentimen Publik terhadap Program Makan Bergizi Gratis (MBG) Menggunakan Fine-Tuning Model Pre-trained IndoBERT Rencanawan, Skunda Putra; Triloka, Joko; Saleh, Sushanty
Jurnal Informatika Vol 26 No 1 (2026): Jurnal Informatika
Publisher : Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract — The Free Nutritious Meal Program (MBG) is a strategic policy of the Indonesian government to address stunting and improve human resource quality, yet its implementation has sparked public opinion polarization on social media X. This study aims to analyze public sentiment toward the MBG program to evaluate public responses and provide data-driven insights for policymakers. Traditional machine learning models often struggle to handle semantic complexity and the use of slang in Indonesian social media. Therefore, this study employs the state-of-the-art pre-trained IndoBERT model for sentiment classification. The research methodology involves a comprehensive pipeline implemented within a Graphical User Interface (GUI) application. A total of 3,459 tweets from X were collected, then processed through cleaning steps (removal of URLs, mentions, emojis), normalization using an Indonesian slang lexicon (233 entries), and sentiment labeling (positive, negative, neutral) with manual validation. The IndoBERT model was fine-tuned using 80% training data (2,366 tweets) with the following configuration: epochs = 5, batch size = 16, learning rate = 2e-5, and evaluated on 20% test data (592 tweets). The fine-tuning results achieved an accuracy of 87.16% and an F1-score of 87%, which is significantly higher than previous SVM-based methods (61–63%). Sentiment analysis on the entire cleaned dataset (2,958 tweets) showed a dominance of neutral sentiment (40.8%), followed by negative (30.6%) and positive (28.7%). Word cloud analysis revealed that public support focuses on the words "sehat" (healthy), "anak" (children), "gizi" (nutrition), while negative sentiment centers on "anggaran" (budget), "korupsi" (corruption), and "jakarta". This study concludes that fine-tuned IndoBERT is effective for public policy sentiment analysis on complex Indonesian social media texts, and provides recommendations for the government to improve budget transparency and public communication. The novelty of this study lies in the development of a GPU-accelerated end-to-end desktop application that integrates the entire Natural Language Processing pipeline, making it a practical real-time evaluation tool for non-technical government analysts.   Keyword — IndoBERT, Natural Language Processing, Public Policy, Sentiment Analysis, Free Nutritious Meal Program
Co-Authors - Nurjoko Agus, Isnandar Alan Bima Mismin Anggi Andriyadi Arman Suryadi Karim, Arman Suryadi Arnande, Muhammad Fivo Ayu Firdhayanti Azzahra, Layla Baehaqi Bobby Bachry Chendy Novia Basri DeppiLinda Dona Yulawati Dona Yuliawati Egi Safitri Endang Astitin Gita Suci Anggraini Halimah Halimah Halimah Yunus Handoyo Widi Nugroho Hasan Basri Hasan Basri Hendra Kurniawan Hernawati Hernawati Hery Yufrizal Hery Yufrizal Indera Indera Indera Irva, Rendi Eriyanta Kristian, Agustinus Linda Septarina Linda Septarina, Linda Melda Agarina Mutiara, Suci Mutiara, Suci Neni Purwati Nevo Pratama Putra Nursiyanto Pebrina Swissia Pebrina Swissia Rafli Banu Satrio Rencanawan, Skunda Putra Rini Nurlistiani Ruki Rizal Satrio, Rafli Banu Sifaul Khoiri Sri Handayani Sri Karnila Sri Lestari Suhendro Yusuf T.M Zaini TM Zaini Toni Fedrik Triloka, Joko Wasilah Wasilah Y. Suhendro Yuliawaati, Dona Zakaria, Asrul