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EVALUASI KEBERHASILAN IMPLEMENTASI SISTEM INFORMASI DENGAN PENDEKATAN HOT FIT MODEL (Studi Kasus : Perpustakaan STMIK AMIKOM Purwokerto) Krisbiantoro, Dwi; Suyanto, M.; Luthfi, Emha Taufiq
Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) 2015
Publisher : Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.086 KB)

Penelitan ini bertujuan untuk mengevaluasi dan mengetahui tingkat keberhasilan implementasi sistem informasi perpustakaan di STMIK AMIKOM Purwokerto dengan mengacu pada model evaluasi Human Organization Technology (HOT - Fit Model). Objek penelitian ini adalah SLiMS (Senayan Library Manajemen Systems) yang bersifat open source yang dikeluarkan oleh Kemendiknas. Metode analisa data penelitian ini menggunakan SEM PLS untuk pengujian hipotesis dan uji validitas dan Realibilitas instrumen dalam penelitian. Hasil penelitian menunjukkan bahwa penerapan SLiMS belum sepenuhnya berhasil karena ditemukan beberapa fitur dalam SLiMS yang tidak sesuai dengan kebutuhan petugas perpustakaan oleh karena itu perlu diadakan perbaikan dan pengembangan sistem agar sesuai dengan kebutuhan sistem pada STMIK AMIKOM Purwokerto. Kualitas sistem, kualitas informasi dan kualitas sistem berpengaruh positif terhadap penggunaan sistem dan kepuasan pengguna sedangkan kepuasan pengguna dan struktur organisasi berpengaruh terhadap Net benefit ( tingkat signifikansi 0,05).

THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME Krisbiantoro, Dwi; Baihaqi, Wiga Maulana
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Universitas Muria Kudus

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

THE IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN THE SELECTION OF REHABILITATION FUND RECIPIENTS FOR UNINHABITABLE HOME Krisbiantoro, Dwi; Baihaqi, Wiga Maulana
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Universitas Muria Kudus

The rehabilitation program is one of the programs given to people who have homes that are not habitable. They are usually from poor families with low economic income. In this program, the family will receive funds to rehabilitate their home. However, as long as the program is running, various problems have been encountered, including those who received fund sometimes received back the fund for rehabilitation funds. This is of course not in accordance with regulations that only allow applicants to receive the fund once. Based on this problem, a decision support system was made to select potential recipients of rehabilitation funds for uninhabitable house. By using the SAW method which is based on the value of criteria and preference weights, an appropriate assessment and ranking can be obtained after going through the selection process of assessing the weight of each attribute. The support for the selection decision for receiving uninhabitable rehabilitation fund was generated in this study. Decision making to determine beneficiaries was facilitated by the existence of a decision support system that was submitted, so that the fund provided was targeted at those entitled to receive uninhabitable rehabilitation fund.

Pendampingan Penggunaan Aplikasi Bank Sampah Pada Kelompok Swadaya Masyarakat (KSM Bima) Kelurahan Teluk Kecamatan Purwokerto Selatan Krisbiantoro, Dwi; Santiko, Irfan; Riyanto, Riyanto
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 5, No 1 (2021)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/jd.v5i1.581

Tujuan dari kegiatan pengabdian ini adalah selain untuk melaksanakan tridharma perguruan tinggi juga salah satu kewajiban membantu permasalahan yang ada ditengah masyarakat yaitu masalah sampah yang merupakan masalah hampir ditemui diberbagai kota di indonesia. Berbagai upaya telah dilakukan oleh berbagai kalangan untuk menanggulangi sampah salah satunya dengan mendirikan Bank sampah secara swadaya masyarakat. Permasalahan yang timbul muncul jika jumlah nasabah sampah sudah cukup banyak tentu dibutuhkan penanganan yang serius agar pengelolaan data sampah dan nasabah dapat terkontrol dengan baik.Melihat dari sisi ekonomi dan sosial dengan adanya bank sampah di tengah warga tentunya sangat membantu warga tetapi akan lebih baik lagi apabila manajemen bank sampah dikelola dengan memanfaatkan teknologi informasi saat ini, dalam hal ini adalah berupa aplikasi berbasis website dimana nantinya warga dapat melihat saldo sampah mereka secara real time dan petugas bank sampah dapat dengan mudah melakukan pelaporan dan pencatatan ke dalam sistem sehingga akan lebih cepat dan efisien dalam manajemen data sampah warga. Pendampingan pengggunan aplikasi bank sampah berbasis web perlu dilakukan kepada petugas bank sampah KSM Bima dan masyarakat sekitar agar pengelolaan manajemen bank sampah dapat berjalan dengan baik secara administrasi dan transparan secara pelaporan hasil keuangan. Adapun kegiatan pendampingan dilakukan dengan cara ceramah, tutorial Â dan praktik langsung ke masyarakat dan petugas bank sampah secara terjadwal dan berkesinambungan agar khususnya petugas bank sampah dapat memahami dan mengimplementasikan langsung aplikasi bank sampah berbasis web.Â Kata kunci : Bank sampah, aplikasi, web

Desain Aplikasi Mobile Smart Farming dengan Pendekatan Design Thinking untuk Meningkatkan Produktivitas Pertanian Muaziz, Imam; Utomo, Fandy Setyo; Krisbiantoro, Dwi; Setiawan, Ito
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 2 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i2.75319

Di era transformasi digital, sektor pertanian Indonesia masih dihadapkan dengan sejumlah, seperti produktivitas yang rendah, kualitas produk yang buruk, dan kurangnya akses informasi dan teknologi, hal ini menyebabkan dampak negatif yang cukup signifikan terhadap produktivitas pertanian, oleh karena itu penerapan smart farming sebagai sistem pertanian yang memanfaatkan teknologi informasi dan komunikasi (TIK), dapat menjadi solusi untuk meningkatkan kualitas dan produktivitas pertanian. Fokus penelitian ini adalah perancangan desain User Interface (UI) dan User Experience (UX) untuk aplikasi mobile smart farming. Penelitian ini menggunakan metode design thinking yang meliputi empathize, define, ideate, prototype, dan testing. Pengujian dilakukan dengan wawancara langsung dan kuisioner Single East Question (SEQ), dan dihitung menggunakan System Usability Scale (SUS), hasil pengujian memperoleh rata-rata 85.5, dimana angka ini menunjukkan bahwa desain UI/UX telah memenuhi kebutuhan pengguna dengan baik. Dengan demikian penerapan metode design thinking membantu pengembang aplikasi dalam memahami kebutuhan pengguna untuk menciptakan solusi yang tepat sebelum aplikasi disebarluaskan.

Designing a Digital Marketing Strategy for UMKM Batik Jati Kusuma using the Sostac Method Krisbiantoro, Dwi; Sarmini, Sarmini; Rahmah, Anisa Aulia
International Journal of Informatics and Information Systems Vol 6, No 3: September 2023
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v6i3.167

Batik Jati Kusuma is an MSME that produces various types of batik cloth. Its product marketing technique, Batik Jati Kusuma, still uses conventional techniques so that the marketing process is not optimal. In order for the product marketing process to run optimally, it is necessary to design a special strategy. The purpose of this study is to expand the marketing area by implementing digital marketing designs on social media platforms in the form of Facebook ads and Instagram ads using the SOSTAC method combined with SWOT analysis and Value Proposition Canvas. The results of the SWOT analysis obtained 4 predictions, where the main strength lies in the selling price of batik cloth products which are cheap so that they are easily accessible to the public, while the weakness lies in the sales process using conventional techniques, these MSME must implement marketing strategies using social media in the form of Facebook ads and Instagram ads to reach broad target consumers, the main opportunity is to be able to form a batik brand image typical of Karangjati village. Then the main threat is the emergence of new, similar competitors, so these MSME must create superiority and competitiveness in their products. From the SWOT results, the percentage on Facebook ads increased by 84%, then the percentage on Instagram ads increased by 80%.

Combination certainty factor method and fuzzy expert system module to determine the dose of leukemia drugs Krisbiantoro, Dwi; Wanti, Linda Perdana; Adi Prasetya, Nur Wachid
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i3.pp1915-1923

Leukemia is a type of blood cancer. Treatment for leukemia patients can last for years because the dose of medication given is adjusted to the patient's immune system. The aim of this research is the use of information technology through a combination of certainty factors and the development of a fuzzy expert system (FES) module to determine the therapeutic schedule for administering leukemia drugs. The urgency of this research is to help medical personnel in measuring the dose of leukemia medication to be given to patients so as to increase the cure rate for leukemia patients. The method used is certainty factor and fuzzy logic. The combination of the certainty factor method and the FES module which is carried out using input variables in the form of the severity of the leukemia suffered by the patient is to produce an appropriate therapeutic schedule for administering leukemia drugs. The result of this research is a combination of the factor certainty method and the FES module which has been tested and the accuracy level is 95.17%, the same as recommendations from experts.

Classification of Air Pollutant Index on Data with Outliers and Imbalance Class Problem Krisbiantoro, Dwi; Waluyo, Retno; Hasanah, Uswatun; Pratama, Irfan; Sarmini, Sarmini
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.1993

The problem of air pollution has become a global issue that has received attention from various countries. Jakarta, Indonesia's capital city, is unavoidable from the same problem. This study will use four parameters of substances PM10, SO2, CO, O3, and nitrogen dioxide to categorize Jakarta's air quality (NO2). The data used is daily data taken from the Air Quality Monitoring Station in Jakarta throughout 2020. The methods used include SVM, Random Forest, Logistic Regression, KNN, CART, and Stacking Algorithm. At the data preparation stage, we found missing values, outliers, and class imbalance problems. Before applying machine learning methods and evaluating accuracy, we used data pre-processing techniques such as the MissForest method, median substitution, and ADASYN. The results prove that the original dataset has a higher accuracy score (0.882 – 0.977) than the balanced dataset (0.829 – 0.976). According to the evaluation results, the Random Forest method has the highest accuracy score for original and balanced datasets. The overall result is better than the identical research, which produces 96.61% accuracy using a neural network. It shows that preprocessing steps such as missing values handling an imbalanced class handling is essential in classification performance.

Penerapan Metode K-Nearest Neighbors dan Naïve Bayes pada Analisis Sentimen Pengguna Aplikasi Bstation melalui Platform Playstore Amrillah, Sigit Fathu; Krisbiantoro, Dwi; Prasetyo, Agung
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5863

Streaming is a method of distributing digital content directly over the internet, which allows users to access media without the need to download files. Bstation is a streaming platform that combines (OGV) and User-Generated Content (UGC). This research assesses the effectiveness of the K-Nearest Neighbors (KNN) and Naïve Bayes algorithms in analyzing sentiment in user reviews of the Bstation application, using a data sample of 5,000 reviews. The problem faced is the large number of users of the Bstation application, so sentiment analysis is needed to measure and understand the public's assessment of the application more accurately. This research aims to analyze the sentiment of Bstation users on Playstore and compare the performance of K-Nearest Neighbors (KNN) and Naïve Bayes to determine the best method for classifying reviews and user sentiment patterns. The findings showed that Naïve Bayes achieved 84% accuracy, surpassing KNN which only achieved 68%. Naïve Bayes showed 86% precision and 88% recall for negative sentiment, while achieving 78% precision and 76% recall for positive sentiment. recall for positive sentiment. In contrast, KNN achieved 80% precision and 66% recall for negative sentiments, and 54% recall for positive sentiments. recall for negative sentiments, and 54% precision and 71% recall for positive sentiments. The F1-Score for Naïve Bayes is also higher, reflecting a better balance overall. better balance overall. The macro average and weighted average weighted average for precision, recall, and F1-score with Naïve Bayes were 82% and 83%, respectively, while KNN recorded a macro average of 0.67. In conclusion, Naïve Bayes is more effective in sentiment analysis than KNN, providing more consistent and accurate performance

PENERAPAN REKOMENDASI ALGORITMA FP-GROWTH UNTUK TREN PENJUALAN PADA TOKO SANWIKARTA Ali, Siti Sehah; krisbiantoro, Dwi; Afiana, Fiby Nur
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6150

Toko Sembako Sanwikarta adalah sebuah usaha ritel yang menyediakan berbagai kebutuhan masyarakat dengan fokus utama pada sembako. Penelitian ini bertujuan untuk memberikan rekomendasi tentang tren yang mungkin terjadi dalam penjualan produk sembako di sebuah toko Sanwikarta. Dalam proses penelitian ini, algoritma FP-Growth digunakan untuk menganalisis tata letak barang yang akan dibeli secara bersamaan oleh pelanggan. Hasil penelitian ini menunjukan bahwa agoritama FP-Growth berhasil mengidentifikasi pola pembelian yang berulang, hal ini memungkinkan pemilik toko mengembangkan stategi yang lebih tepat untuk mengelola produk -produknya dan menawarkan produk kepada pelanggan. Proses pre-processing data juga dilakukan untuk memastikan kualitas data yang digunakan dalam analisis. Dengan demikian, penerapan algoritma FP-Growth pada toko Sanwikarta dapat meningkatkan penjualan produk. Tujuan dari penelitian ini adalah mengimplementasikan rekomendasi tentang tren penjualan produk sembako di toko Sanwikarta dengan menggunakan algoritma FP-Growth. Penelitian ini juga bertujuan untuk menganalisis pola pembelian yang sering terjadi ditoko tersebut, sehingga pemilik toko dapat mengembangkan stategi yang lebih tepat dalam penataan tata letak produk. Berdasarkan hasil proses akhir yang dilakukan dengan penggunaan aplikasi rapid miner,hasil aturan yang didapat menujukan bahwa algoritma FP-Growth berhasil diterapkan pada transaksi toko sembako Sanwikarta. Dengan nilai minimun kepercayaaan pola hubungan data dari toko Sanwikarta dengan tingkat minimum support (0,95) dan Confiden (0,8) menujukan bahwa jika pelanggan membeli Saos Tomat, pelanggan juga akan membeli Mie Instan dan Sosis

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