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All Journal JURNAL SISTEM INFORMASI BISNIS Jupiter Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JRST (Jurnal Riset Sains dan Teknologi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Masyarakat Indonesia Jurnal Ilmiah Wahana Pendidikan Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Tren Bisnis Global Jurnal INFOTEL Jurnal Informatika: Jurnal Pengembangan IT JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Edu Komputika Journal JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
M Yoka Fathoni
Intitut Teknologi Telkom Purwokerto
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Usability Evaluation of The Cinemas Indonesia CGV Application Using Heuristic Evaluation and Pieces Framework Kusuma Ningrum, Linda Ayu; Fathoni, M Yoka; Setyodewi, RR Hutanti
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2769

Abstract

The CGV Cinemas Indonesia application is an application that offers services for buying cinema tickets online. Even though the release of the CGV Cinemas Indonesia application was earlier than other cinema e-ticketing applications, this application actually has the lowest demand, judging from the application rating scale and the total number of downloads. Overall service quality can affect how satisfied users are. This study was conducted to evaluate the usability and service quality of the CGV Cinemas Indonesia application on user satisfaction using two related methods, namely the Heuristic Evaluation and Pieces Framework methods. Heuristic Evaluation is used to measure the extent of problems with the application's user interface. Pieces Framework is used to measure user satisfaction with application service quality. Where it is hoped that this research will produce recommendations for evaluating improvements related to CGV Cinemas Indonesia application problems. Based on the calculation results with the Heuristic Evaluation method, the average usability level is 67%. This percentage shows that the system has a good usability level. However, there are also several indicators that have a lower value than the minimum good system limit and need to be evaluated for improvement. In the results of calculations with the Pieces Framework, the final average satisfaction level is 3.5605; where in this case it can be concluded that the level of user satisfaction of the CGV Cinemas Indonesia application is included in the PUAS category. However, in terms of service quality, there are still several indicators on one dimension that need to be considered in the evaluation of improvements by application developers.
MEASUREMENT OF ALMAMATER SUIT SUPPLY CHAIN PERFORMANCE IN SACIKA COOPERATIVE USING SCOR Ayu Nirwana, Zahra Fikri; Firmansyah, Aruga Yudish; Fadhilah, Syifa Nur; Fathoni, M Yoka
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 2 (2024): Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.2888

Abstract

Abstract: SACIKA Cooperative, as a student cooperative at the Telkom Institute of Technology Purwokerto, provides almamater suit procurement services. Currently, the process of procuring and ordering almamater suits is faced with several obstacles, which results in students as customers feeling disadvantaged during the ordering process. Therefore, it is necessary to evaluate the performance of the supply chain at the SACIKA Cooperative in order to improve efficiency and suitability in the procurement of alma mater suits. This study aims to assess the performance of the alma mater suit supply chain at the SACIKA Cooperative using the SCOR Matrix. This type of research is descriptive quantitative, with data collection conducted through interviews and observations. Supply chain performance measurement is carried out using four attributes and matrices, namely Reliability with Perfect Order Fulfillment (POF), Responsiveness with Order Fulfillment Cycle Time (OFCT) Matrix, Agility with Cost of Goods Sold (COGS), and Assets with Cash-to-Cash Cycle Time (CTCCT) Matrix. The results showed the performance value of each matrix, namely POF of 96.47%, OFCT 1 day, COGS 92.94%, and CTCCT 8 days.            Keywords: SCOR matrix; supply chain management; supply chain flow patterns  Abstrak: Koperasi SACIKA, sebagai koperasi mahasiswa di lingkungan Institut Teknologi Telkom Purwokerto, menyediakan layanan pengadaan jas almamater. Saat ini, proses pengadaan dan pemesanan jas almamater dihadapi beberapa kendala, yang mengakibatkan mahasiswa sebagai pelanggan merasa dirugikan selama proses pemesanan. Oleh karena itu, perlu dilakukan evaluasi terhadap kinerja rantai pasok di Koperasi SACIKA guna meningkatkan efisiensi dan kesesuaian dalam pengadaan jas almamater. Penelitian ini bertujuan untuk menilai kinerja rantai pasok jas almamater di Koperasi SACIKA menggunakan Matriks SCOR. Jenis penelitian ini bersifat deskriptif kuantitatif, dengan pengumpulan data dilakukan melalui wawancara dan observasi. Pengukuran kinerja rantai pasok dilakukan dengan menggunakan empat atribut dan matriks, yaitu Reliability with Perfect Order Fulfillment (POF), Responsiveness with Order Fulfillment Cycle Time (OFCT) Matrix, Agility with Cost of Goods Sold (COGS), dan Assets with Cash-to-Cash Cycle Time (CTCCT) Matrix. Hasil penelitian menunjukkan nilai performansi masing-masing matriks, yaitu POF sebesar 96,47%, OFCT 1 hari, COGS 92,94%, dan CTCCT 8 hari. Kata kunci: matriks SCOR; manajemen rantai pasok; pola aliran rantai pasok
Pemilihan Supplier di Industri Kecap “Riboet” Menggunakan Metode Analysis Hierarchy Process Fajriyah, Nindi Ilmiyati; Anggraeni, Selly; Friliyani, Radiyana Aniq; Fathoni, M Yoka
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 3 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i3.3882

Abstract

Pemilihan supplier pada setiap perusahaan didasarkan pada tujuan perusahaan guna kelancaran proses produksi dan operasional. Proses pemilihan supplier gula aren di perusahaan Kecap “Riboet” perlu banyak pertimbangan dan pengambilan keputusan yang tepat. Di dalam proses produksi, perusahaan Kecap “Riboet” masih terkendala menentukan pemasok gula aren yang diinginkan oleh perusahaan. Banyak supplier yang datang menawarkan produk ke perusahaan, tetapi masih cukup sulit untuk mendapatkan pemasok yang diinginkan oleh perusahaan . Rata-rata supplier yang bekerjasama dengan perusahaan Kecap “Riboet” merupakan supplier dengan skala industri rumahan, sehingga membutuhkan cara untuk melakukan penyeleksian supplier agar sesuai dengan kriteria perusahaan untuk kelancaran proses bisnis perusahaan. Tujuan dari penelitian ini adalah pemilihan supplier di industri kecap “Riboet” menggunakan metode Analysis Hierarchy Process. Hasil penelitian menggunakan AHP terhadap supplier  gula aren diperoleh nilai bobot kriteria di mana bobot tertinggi pada kriteria harga (2,667), kemudian bobot kualitas (0,7633), bobot layanan (0,4691), dan terakhir bobot lokasi (0,4266). Sedangkan untuk nilai bobot alternatif yang memeperoleh nilai bobot paling tinggi adalah supplier J (0.093). 
Analisis Sentimen Berbasis Aspek pada Layanan Hotel di Wilayah Kabupaten Banyumas dengan Word2Vec dan Random Forest Wijayanto, Sena; Prabowo, Dedy Agung; Kristiyanto, Daniel Yeri; Fathoni, M Yoka
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 1 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i1.4186

Abstract

Dalam industri pariwisata, hotel memiliki peran penting untuk membantu wisatawan karena menyediakan penginapan terutama bagi wisatawan dari luar kota. Kualitas layanan hotel dapat dilihat dari opini-opini yang diberikan ooleh pengunjung yang telah menginap di hotel tersebut. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap ulasan yang diberikan oleh pengunjung hotel. Data ulasan tersebut diambil dari Traveloka menggunakan web scrapping. Metode yang digunakan untuk ekstraksi fitur adalah word2vec. Untuk klasifikasi sentimen, metode yang digunakan adalah random forest. Hasil percobaan terbaik didapatkan dari hasil percobaan dengan menggunakan jumlah tree 100, 200, dan 300 dengan hasil akurasi sebesar 82%-83%.
Sistem Pakar Diagnosis Penyakit Pada Ikan Bawal Bintang dengan Pendekatan Naive bayes Aldo, Dasril; Nur, Yohani Setiya Rafika; Fathoni, M. Yoka
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.4750

Abstract

 The star pomfret is a type of cultivated fish that has high economic prospects. The focus of the main problem in this study is the disease that attacks the star pomfret fish commodity. If this is allowed to continue, it will cause crop failure and cause the fishermen to lose money. Through this research, an expert system is one solution that can overcome these problems. The expert system built will apply the Naive Bayes method with the stages of entering the dataset into the database which will be used as training data, then the user inputs testing data to be processed into the Bayes method, in the final result the probability value of each disease will be displayed which will then be given recommendations on how to control it disease. From the symptoms selected by the user, namely: white or pale spots on the surface of the body, bleeding on the surface of the body, protruding eyes, the fish looks difficult to breathe, mucus production increases until the body runs out of mucus / roughness, fish lose their appetite, slow movement and slow growth get disease results Cryptocaryon with a value of 93.4. The results of tests carried out on 17 data obtained an accuracy value of 94% so that the expert system is suitable for use as a tool for diagnosing disease in pomfret
Analisis Kinerja Rantai Pasok Produk Kedelai Menggunakan Metode Supply Chain Operation Reference Fathoni, M Yoka; Prabowo, Dedy Agung; Wijayanto, Sena; Fernandez, Sandhy; Susanto, Ardi
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 2 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i2.3740

Abstract

Indonesia is a country that has one of the advantages, namely as the largest agricultural country that has natural wealth, one of which is the agricultural sector. Soybean is one of the most widely grown crops in Indonesian agriculture and is included in the legumes group which has the highest vegetable protein content when compared to other types of beans such as red beans, green beans, and peanuts. The use of the SCOR method in this study is to measure good SCM performance, because SCOR divides supply chain processes into five 5 core processes, namely plan, source, make, deliver and return, where these processes have represented all supply chain activities. management from upstream to downstream in detail, so that it can define and categorize the measurement indicators needed in measuring Supply Chain Management performance. Based on the SCOR method, the results of the calculation of the final performance value of the soybean supply chain in the province of Central Java are 76.8 out of 100 which are in the "good" category.
Analisis Risiko IT untuk Pemanfaatan Tools Genogram pada Health care sukmadiningtyas, sukmadiningtyas; Fathoni, M Yoka
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6418

Abstract

This research analysis the genogram tool uses to record a person's health history as a medium for supporting health. This research analyzes the risks that might occur in a polyclinic if a genogram tool is implemented. The analysis process is through a risk identification process then a risk assessment using the COBIT for Risk IT method as IT resource mapping, then qualitative analysis as a method of mapping possibilities and impacts according to FGDs with organizations which can be used as a guide in assessing risks. level. Meanwhile, bow tie analysis is a risk mapping method that allows risk recovery so that it can serve as a guide for recovery. The results of risk analysis using the Genogram tool show several conditions, namely low probability but high level of impact, low probability but medium impact, and high probability of impact.
ANALISIS PERFORMANSI SUPPLY CHAIN PADA PRODUK SEPATU FLAT SHOES MENGGUNAKAN MODEL SCOR Fathoni, M Yoka; Nishom, M; Wibowo, Dega Surono
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 1 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i1.4766

Abstract

The performance measure of a service cannot be in form and does not result in ownership. Service itself is a form of activity carried out by one or more people, and also is agility (intangible and affected by previous sales). So the services purchased by customers cannot be counted, measured or stored to determine the quality of their services. One of the shoe sales industries is Toko XYZ, this shoe store is one of the largest brands in the archipelago. The prices offered on the national and international market are quite cheap. In order to improve a strategy so that many consumers visit XYZ shoe stores, and for XYZ it is possible to achieve the expected targets with integrated marketing. Data collection in this study consists of 2 steps, namely preparation, this stage is carried out before conducting research such as looking for references on the internet, theoretical foundations that support research such as SCOR model theory and journals. Furthermore, with the contents of the questionnaire compiled to represent the dimensions of service performance quality. The conclusion of the study is that the statement attributes expected by the customer through the SCOR Model method are positive.
Sentiment Analysis of Visitor Reviews on Baturaden Tourist Attraction Using Machine Learning Methods Afrad, Mahazam; Febrianto, Dany Candra; Wijayanto, Sena; Fathoni, M. Yoka
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10561

Abstract

This study evaluates the performance of four machine learning models: Support Vector Machine (SVM), Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes in analyzing visitor reviews of the Lokawisata Baturaden tourist attraction. Using 5-fold cross-validation, the study aims to determine which machine learning model best suits sentiment analysis on the Baturaden review data. This study was conducted through several stages, including data preprocessing, feature extraction, and the data training process. Case folding, text cleaning, tokenization, stopword removal, and stemming were performed during the data preprocessing stage. The feature extraction method used was TF-IDF. SMOTE was applied to increase data variation and address the data imbalance in the dataset. The results show that SVM provides the best performance with an accuracy of 0.937, an F1-score of 0.937, a precision of 0.943, and a recall of 0.937. Random Forest also performs well with an accuracy of 0.918 and an F1-score of 0.918, though slightly below SVM. KNN shows the lowest performance with an accuracy of 0.651 and an F1-score of 0.544, while Naive Bayes performs adequately with an accuracy of 0.845 and an F1-score of 0.841. Based on this evaluation, SVM is recommended as the best model for sentiment analysis of reviews, followed by Random Forest as a good alternative. The KNN model is not recommended due to its lower performance, while Naive Bayes can be considered for its speed and simplicity, although its results are not as good as SVM and Random Forest. These conclusions guide the selection of the optimal model to enhance understanding and visitor experience at the Baturaden tourist attraction.
Analisis Emosi Wisatawan Menggunakan Metode Lexicon Text Analysis Rahmadani, Dea Caesy; Khomsah, Siti; Fathoni, M Yoka
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 1 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i1.6690

Abstract

Travelers often write comments on the internet, usually about experiences, opinions, and even complaints. Comment data on the internet can provide information for stakeholders. This information can be extracted using text analysis methods such as positive and negative sentiments. Sentiments can be detailed into eight types of emotions. This study aims to extract emotions from tourists' comments on Google Map, especially on tourist-site accounts in BARLINGMASCAKEB. The dataset comments were crawled from ten tourism objects in BARLINGMASCAKEB. The method used is Lexicon Emotion Analysis. The results show that the majority of tourists have positive experiences. It is shown by the emotion "joy" and "trust." Emotions "joy" and "trust" have positive meanings, so it can be said that the majority of tourists feel positive emotions. There are sites that present highest emotions of "joy": Aquarium-Purbasari-Pancuran-Mas with 33.52%, Lembah-Asri-Serang with 30.85%, Sanggaluri-Reptile-Park by 30, 27%, Baturaden Botanical-Gardens with 27, 67 %, and Curug-Jenggala by 23.4%. At the same time, the highest types of "trust" emotions are Benteng-Pandem with 27.41%, Arjuna-Temple with 26.6%, Sikidang-Crater with 20.71%, and Menganti-Beach with 25, 74%. Only one site, the World Miniature Park, gives the highest "anticipation" emotion. Usually, caring words represent anticipation emotions, so they can still be categorized into positive emotions. The extraction of emotions is affected by the process of emotion-labeling of each comment, so further research is recommended to develop a lexicon emotion dictionary. The results of this study are expected to provide benefits for the development of the tourism industry in the BARLINGMASCAKEB area and for the academic world, especially regarding the application of text mining in the tourism sector
Co-Authors 12.5202.0161 Daniel Yeri Kristiyanto Adanti Wido Paramadini Ade Tiara Rosalinda Alfarisi, Gitasari Kurnia Ali, Nizar Alika, Shintia Dwi Anggraeni, Selly Apriliana Puspitaningrum Ardi Susanto Ardi Susanto Arif Riyandi Aruga Yudish Firmansyah Ayu Kusumaningtyas Ayu Nirwana, Zahra Fikri Azzahra, Anisa Cahyo Prihantoro Dairoh Dairoh Dandi Sunardi Dany Candra Febrianto Darmansah Darmansah, Darmansah Dasril Aldo Dea Caesy Rahmadani Dedy Agung Prabowo Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Dwi Januarita Dwi Januarita Dwi Mustika Kusumawardani, Dwi Mustika Fadhilah, Syifa Nur Fajriyah, Nindi Ilmiyati Farkhan Hariyadi Berbudi Bowoleksono Fauzi, Faiq Firmansyah, Aruga Yudish Firmansyah, Muhammad Raafi'u Friliyani, Radiyana Aniq Garin Indra Prameswara Hutanti Setyodewi Ike Kurnia Putri Irwan Susanto Jihan Shinta Celina Kusuma Ningrum, Linda Ayu Lina Fatimah Lishobrina Logiandani Logiandani M Nishom M Nishom Mahazam Afrad Maulida, Elsa Miftahul Jannah Monsya Juansen Muhamad Albirra Arsyi Rizqi Muhamad Awiet Wiedanto Prasetyo Muhammad Fikri Hidayattullah Muhammad Imanullah Nabila Azahra Naufal Ibrahim Nevandra Putra Andyka Ni Wayan Wardani Nicolaus Euclides Wahyu Nugroho Nindi Ilmiyati Fajriyah Nishom, M Nunik Oktaviani Olivia Sari Purba, Yessi Pahrizal, Pahrizal Pero Roberto Kristovic Radiyana Aniq Friliyani Rahmadani, Dea Caesy Raihan Zidane Ramadhan Ramadhan, Firman Adi Ramadhani S, Bunga Rona Nisa Sofia Amriza Safhira Nanda Rahmadhani Salsabila Cahya Alifia Sandhy Fernandes Sandhy Fernandez Sayyidah Jasinda Amalia Selly Anggraeni Sena Wijayanto Setyodewi, RR Hutanti Sisilia Thya Safitri Siti Khomsah, Siti Sudianto Sukmadiningtyas Sulaeman, Gilang Syabrian, Izma Syifa Nur Fadhilah Tegar Wahyudi Adha Tomy Nanda Putra Toni Anwar Toni Anwar Toyib, Rozali Waliulu, Raditya Faisal Wiedanto, Muhammad Awiet Yedija Maarende, Tigris Yogo Dwi Prasetyo Yogo Dwi Prasetyo Yohani Setiya Rafika Nur Yulia Darmi Yustia Hapsari Zahra Fikri Ayu Nirwana