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Analisa dan Perancangan Sistem Informasi Service Control Board System pada PT. XYZ berbasis Web Makin, Samsul; Supiana, Nana; Kurniawan, Muhammad Arif
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 11, No 2: Desember 2023
Publisher : Universitas Insan Pembangunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v11i2.234

Abstract

The service control board is a tool used to monitor workshop conditions according to actual conditions. there is a difference in the status of the service unit on the service control board manual with the actual service unit status in the workshop, the distance between the foreman''s office and the service advisor''s office is quite far so the foreman has to come to the service registration office every time to update the service unit''s status on the service control board manual, the customer has difficulty in read the service control board manual because it uses certain symbols. The service control board system information system is a solution to solve existing problems. With the creation of a service control board system, the processes and procedures for updating service unit status will be more effective and efficient and the information displayed will be more accurate and real-time.
Edukasi Kemampuan Anak Berempati dan Berakhlak Baik Melalui Pendidikan Karakter di Musholla Nurul Jannah Cimone, Karawaci Sudiyono, Rachma Nadhila; winanti, Winanti; Maesaroh, Siti; Lestari, Sri; Asnaini, Sri Wahyuni; Nuryanti, Yulis; Fauji, Ahmad; Hasna, Shofwatun; Kurniawan, Muhammad Arif
Jurnal Abdimas Universitas Insan Pembangunan Indonesia Vol. 2 No. 2 (2024): Agustus 2024
Publisher : LPPM Universitas Insan Pembangunan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/jabdimasunipem.v2i2.51

Abstract

Terus menurunnya rasa impati dan sikap yang mengarah kepada aklak anak-anak membuat prihatin semua pihak. Kesadaran anak untuk memiliki rasa impati terhadap teman sejawat, saudara bahkan orang tua terutama di daerah perkotaan menjadi perhatian bersama terutama dosen sebagai pendidik. Kegiatan PKM dilakukan untuk mengedukasi anak-anak di daaerah Cimone Kota Tangerang dalam kemampuan dan kesadaran memiliki rasa impati dan beraklak baik melalui pendidikan karakter. Edukasi dilakukan dengan menggunakan metode ceramah secara langsung dimana narasumber menyampaikan materi dan diakhir kegiatan anak-anak diberikan pertanyaan atau kuis. Ada diskusi secara interaktif di akhir cerita setelah narasumber menyampaikan materi. Peserta dapat bertanya langsung kepada narasumber seputar materi, diskusi yang interaktif terjadi dalam kegiatan ini. Kegiatan PKM ini diharapkan dapat memberikan pemahaman dan edukasi mengenai rasa impati dan aklak baik melalui pendidikan karakter, sehingga kekuatiran orang tua selama ini dapat diminimalisir
PESANTRENPRENEUR SEBAGAI GERAKAN PEMBANGUNAN EKONOMI MASYARAKAT LOKAL Kurniawan, Muhammad Arif; Pramadeka, Katra
Jurnal Pendidikan dan Ekonomi (JUPEK) Vol 6 No 1 (2024): Jurnal Pendidikan dan Ekonomi (JUPEK)
Publisher : Program Studi Pendidikan Ekonomi Institut Sain dan Kependidikan (ISDIK) Kie Raha Maluku Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14176881

Abstract

Pesantrenpreneur has great potential to not only strengthen the role of pesantren as an educational institution, but also as a motor for local economic development. This research aims to reveal in detail how pesantrenpreneur movement at the Islamic Boarding School (pesantren) of Lintang Songo is used as a development of pesantren economy and to find out what strategies of Pesantren Lintang Songo has in driving the existence of its pesantrenpreneurs. This research is a qualitative study with a case study approach. Data collection using observation, structured interviews and documentation, while the data analysis technique used is the Miles and Huberman model analysis. The research results indicate that Pesantren Lintang Songo has carried out various stages of pesantrenpreneurship well, including: 1) Pesantren internship stage, 2) Pesantren launch stage, 3) Pesantren take-off stage and 4) Pesantren maturity stage. Not only that, this pesantren also has four strategies to drive its existence in the wider community, including: 1) collaborating with the local community to manage agriculture and plantations, 2) recruiting assistants from students for various pesantren productions, 3) collaborating with the local government in providing assistance to improve the skills of students in pesantren entrepreneurship and 4) renting community land to be used as productive land. The impact of pesantrenpreneurs at Pesantren Lintang Songo is greatly felt by the students and the community, especially in the development of the local community economy.
ANALISIS SENTIMEN RESPON PENGGUNA CHAT GPT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Safitri, Angelina; Firmansyah, Ilhan; Yani, Fitri; Kurniawan, Muhammad Arif; Nuryamin, Yamin
Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Vol. 6 No. 2 (2025): Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI)
Publisher : Information Technology Education Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jipti.v6i2.3810

Abstract

This study aims to analyze user sentiment toward ChatGPT based on comments collected from the YouTube platform using the Support Vector Machine (SVM) algorithm. SVM belongs to the supervised learning algorithm group. The data were collected through web scraping using the YouTube Data API v3, resulting in 999 valid comments. The initial process included data cleaning using regular expressions to remove irrelevant characters, duplicates, and noise. Sentiment correction was then performed using a bilingual lexicon-based function (Indonesian and English) to improve classification accuracy based on language context. The initial sentiment distribution analysis showed 53.85% positive, 33.53% negative, and 12.61% neutral sentiments. To address class imbalance, a balancing process was conducted before model training. The preprocessing stage involved feature normalization and feature selection before splitting the dataset into 70% training and 30% testing data. The SVM model was trained and evaluated using performance metrics such as accuracy, precision, recall, F1-score, and AUC. The evaluation results showed an AUC of 0.90, accuracy of 81.6%, precision of 89.2%, recall of 51.6%, and F1-score of 65.4%. Based on these results, the SVM algorithm proved effective in classifying user sentiments toward ChatGPT with a high level of accuracy after the data balancing process.