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Perancangan Program Aplikasi Buku Induk untuk SDK 4 Penabur Steven Martinnus; Dali Santun Naga
Jurnal Ilmu Komputer dan Sistem Informasi Vol 5, No 2 (2017): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v5i2.1129

This Master Book Application Program for SDK 4 Penabur School was created because the previoslly system still manually uses manual administration book. This application was developed with the aim to simplify the process of storing student data and storage of learning results. In addition to makes it easier for staff to look for students data without having to take a long time. This application is done by using System Development Life Cycle (SDLC). Supporting Software such as Adobe Dreamweaver, PHPMyAdmin, Microsoft Word, Microsoft Visio, and Notepad ++. This application is built using PHP Programming languages and SQL database. This application has been tested using user acceptance testing and black box testing. This master book application can already be used in SDK 4 Penabur Jakarta

PENGGUNAAN SPELLING CORRECTION DENGAN METODE PETER NORVIG DAN N-GRAM Ricky Martin; Dali Santun Naga; Viny Christanti Mawardi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Typing errors in a document are human errors that are difficult to avoid as a result of which the message to be conveyed is not optimal. Using the Spelling Corrector feature is one way to check typing errors. The Spelling Corrector feature is able to provide only one word suggestion and correct it immediately. The combination of Peter Norvig and Ngram's methods was able to come up with one word suggestion and correct it right away. Both methods of looking for word suggestions use the probability value of the words that appear most frequently in the dictionary. The difference between the two methods is that Peter Norvig uses an algorithm that combines the delete, insert, replace, and transpose processes for the wrong word. Meanwhile, Ngram uses an algorithm that pays attention to the words before and after them based on the sentences in the dictionary. The dictionary used is a dictionary of word lists from KBBI and also a dictionary of sentences taken from several articles on the internet. This combination of methods was tested using 55 documents containing sentences that had one misspelled word. The test results show that the combination of the two methods provides an accuracy rate of 73,684% and a success rate of 37,037% for the total accuracy of this application is 69.09%. These two methods can be used to correct typing errors, although they cannot correct words with an error rate of two or more letters. This is because Peter Norvig was unable to correct a word with a two-letter error rate and needed a good corpus.

PENGEMBANGAN APLIKASI E-COMMERCE PRODUK LOKAL DAN DATA KEPENDUDUKAN PADA DESA GIRITENGAH, BOROBUDUR Benny Bunardi; Dali Santun Naga; Desi Arisandi
Computatio : Journal of Computer Science and Information Systems Vol 3, No 1 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Tourism is one of the most important sector of revenue for an area. The people living near the tourist attraction can introduce their culture by showing some local products or their handcraft. Previously a tourism information system has been made. But the system cannot facilitate the desire of the local to sell their product by using internet. Besides the lack of capability of the system to sell product, the locals also expect a system to be capable of recording some of the civilian data and turn it into information. The development of the previous version is expected to help some locals to sell their products and to help the village to manage their data about the resident in that village. This system uses System Development Life Cycle (SDLC) with some help of software such as HTML, PHP, MySQL, and notepad++. The making process of the program starts with designing Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), and table relation, then being tested by the programmer using blackbox testing method and User Acceptance Testing. This writing results in a system to help Giritengah to sell local product and the village to manage their residence data. Pariwisata merupakan salah satu sektor pendapatan yang cukup penting bagi suatu daerah. Warga yang tinggal di sekitar sebuah objek wisata mampu menonjolkan kebudayaannya melalui kerajinan tangan ataupun produk lokal yang ada. Sebuah sistem informasi pariwisata berbasis web telah dibuat. Namun keinginan masyarakat setempat untuk menjual produkproduk lokal yang ada secara luas dengan memanfaatkan jaringan internet belum dapat terwujud karena sistem tersebut belum memiliki sistem e-commerce. Selain kurangnya kemampuan sistem yang ada dalam menjual produk-produk lokal desa Giritengah, diharapkan pula adanya sebuah sistem yang dapat melakukan proses penyimpanan data demografi dan menampilkannya dalam bentuk informasi. Pengembangan aplikasi ini diharapkan dapat membantu warga untuk menjual produknya dan perangkat desa dalam mengelola data kependudukan. Metodologi pembuatan sistem menggunakan metode System Development Life Cycle (SDLC) dengan menggunakan bantuan software seperti HTML, PHP, MySQL dan Notepad++. Proses pembuatan program dimulai dengan mengimplementasikan rancangan Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), serta hubungan antar tabel ke dalam program hingga melakukan pengujian oleh programmer melalui metode blackbox testing dan user dengan metode User Acceptance Testing. Penulisan ini menghasilkan sebuah sistem yang dapat membantu warga Giritengah dalam menjual produk lokalnya serta membantu perangkat desa Giritengah dalam melakukan pengelolaan data penduduknya.

SISTEM PENGOREKSIAN EJAAN TEKS BAHASA INDONESIA DENGAN DAMERAU LEVENSHTEIN DISTANCE DAN RECURRENT NEURA L NETWORK Fendy Augusfian; Viny Christanti Mawardi; Janson Hendryli; Dali Santun Naga
Computatio : Journal of Computer Science and Information Systems Vol 3, No 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

This research was intended to create Indonesian Text Spelling Correction system with the capability to handle and make correction to both kind of spelling errors, non-word and real-word errors. Existing spelling correction system was analyzed and made some adjustment and modifications to boost its accuracy. The proposed spelling correction system is built with Damerau-Levenshtein Distance that used in existing spelling correction system along with the adjustment and modifications. The result that achieved by the system that uses by existing spelling correction with the word level accuracy of 40.6% and an average processing speed of 18.4 ms per sentence while the result that achieved by the system that uses Damerau-Levenshtein Distance and Recurrent Neural Network with the word level accuracy of 21.3% and an average processing speed of 29.21 ms per sentence. The result of retest text that achieved by the system that uses Damerau-Levenshtein Distance and Recurrent Neural Network with the word level accuracy of 74%. Tujuan dari penelitian ini adalah untuk membuat sistem pengoreksian ejaan teks Bahasa Indonesia, yang memiliki kemampuan untuk menangani dan memperbaiki kesalahan ejaan, baik kesalahan kata tidak sah maupun kesalahan kata sah. Sistem koreksi ejaan yang sudah ada dianalisis kembali dan dilakukan beberapa penyesuaian dan koreksi untuk meningkatkan akurasi. Sistem koreksi ejaan yang diusulkan dibuat dengan metode Damerau-Levenshtein, yang digunakan dengan penyesuaian dan koreksi dalam sistem koreksi ejaan yang sudah ada. Pencapaian yang dicapai oleh sistem koreksi ejaan yang sudah ada menghasilkan akurasi kata sebesar 40,6% dan kecepatan pemrosesan rata-rata 18,4 milidetik per kalimat dibandingkan hasil yang dicapai oleh sistem yang menggunakan Damerau-Levenshtein Distance dan Recurrent Neural Network Akurasi menghasilkan akurasi kata sebesar 21,3% dan kecepatan pemrosesan rata-rata adalah 29,21 milidetik per kalimat. Hasil pengujian ulang teks yang dicapai oleh sistem menggunakan Damerau-Levenshtein Distance dan Recurrent Neural Network menunjukkan akurasi kata sebesar dari 74%.

PENGEMBANGAN APLIKASI E-COMMERCE PRODUK LOKAL DAN DATA KEPENDUDUKAN PADA DESA GIRITENGAH, BOROBUDUR Benny Bunardi; Dali Santun Naga; Desi Arisandi
Computatio : Journal of Computer Science and Information Systems Vol. 3 No. 1 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v3i1.4274

Tourism is one of the most important sector of revenue for an area. The people living near the tourist attraction can introduce their culture by showing some local products or their handcraft. Previously a tourism information system has been made. But the system cannot facilitate the desire of the local to sell their product by using internet. Besides the lack of capability of the system to sell product, the locals also expect a system to be capable of recording some of the civilian data and turn it into information. The development of the previous version is expected to help some locals to sell their products and to help the village to manage their data about the resident in that village. This system uses System Development Life Cycle (SDLC) with some help of software such as HTML, PHP, MySQL, and notepad++. The making process of the program starts with designing Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), and table relation, then being tested by the programmer using blackbox testing method and User Acceptance Testing. This writing results in a system to help Giritengah to sell local product and the village to manage their residence data. Pariwisata merupakan salah satu sektor pendapatan yang cukup penting bagi suatu daerah. Warga yang tinggal di sekitar sebuah objek wisata mampu menonjolkan kebudayaannya melalui kerajinan tangan ataupun produk lokal yang ada. Sebuah sistem informasi pariwisata berbasis web telah dibuat. Namun keinginan masyarakat setempat untuk menjual produkproduk lokal yang ada secara luas dengan memanfaatkan jaringan internet belum dapat terwujud karena sistem tersebut belum memiliki sistem e-commerce. Selain kurangnya kemampuan sistem yang ada dalam menjual produk-produk lokal desa Giritengah, diharapkan pula adanya sebuah sistem yang dapat melakukan proses penyimpanan data demografi dan menampilkannya dalam bentuk informasi. Pengembangan aplikasi ini diharapkan dapat membantu warga untuk menjual produknya dan perangkat desa dalam mengelola data kependudukan. Metodologi pembuatan sistem menggunakan metode System Development Life Cycle (SDLC) dengan menggunakan bantuan software seperti HTML, PHP, MySQL dan Notepad++. Proses pembuatan program dimulai dengan mengimplementasikan rancangan Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), serta hubungan antar tabel ke dalam program hingga melakukan pengujian oleh programmer melalui metode blackbox testing dan user dengan metode User Acceptance Testing. Penulisan ini menghasilkan sebuah sistem yang dapat membantu warga Giritengah dalam menjual produk lokalnya serta membantu perangkat desa Giritengah dalam melakukan pengelolaan data penduduknya.

SISTEM PENGOREKSIAN EJAAN TEKS BAHASA INDONESIA DENGAN DAMERAU LEVENSHTEIN DISTANCE DAN RECURRENT NEURA L NETWORK Fendy Augusfian; Viny Christanti Mawardi; Janson Hendryli; Dali Santun Naga
Computatio : Journal of Computer Science and Information Systems Vol. 3 No. 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v3i2.6038

This research was intended to create Indonesian Text Spelling Correction system with the capability to handle and make correction to both kind of spelling errors, non-word and real-word errors. Existing spelling correction system was analyzed and made some adjustment and modifications to boost its accuracy. The proposed spelling correction system is built with Damerau-Levenshtein Distance that used in existing spelling correction system along with the adjustment and modifications. The result that achieved by the system that uses by existing spelling correction with the word level accuracy of 40.6% and an average processing speed of 18.4 ms per sentence while the result that achieved by the system that uses Damerau-Levenshtein Distance and Recurrent Neural Network with the word level accuracy of 21.3% and an average processing speed of 29.21 ms per sentence. The result of retest text that achieved by the system that uses Damerau-Levenshtein Distance and Recurrent Neural Network with the word level accuracy of 74%. Tujuan dari penelitian ini adalah untuk membuat sistem pengoreksian ejaan teks Bahasa Indonesia, yang memiliki kemampuan untuk menangani dan memperbaiki kesalahan ejaan, baik kesalahan kata tidak sah maupun kesalahan kata sah. Sistem koreksi ejaan yang sudah ada dianalisis kembali dan dilakukan beberapa penyesuaian dan koreksi untuk meningkatkan akurasi. Sistem koreksi ejaan yang diusulkan dibuat dengan metode Damerau-Levenshtein, yang digunakan dengan penyesuaian dan koreksi dalam sistem koreksi ejaan yang sudah ada. Pencapaian yang dicapai oleh sistem koreksi ejaan yang sudah ada menghasilkan akurasi kata sebesar 40,6% dan kecepatan pemrosesan rata-rata 18,4 milidetik per kalimat dibandingkan hasil yang dicapai oleh sistem yang menggunakan Damerau-Levenshtein Distance dan Recurrent Neural Network Akurasi menghasilkan akurasi kata sebesar 21,3% dan kecepatan pemrosesan rata-rata adalah 29,21 milidetik per kalimat. Hasil pengujian ulang teks yang dicapai oleh sistem menggunakan Damerau-Levenshtein Distance dan Recurrent Neural Network menunjukkan akurasi kata sebesar dari 74%.

Using Situational Judgement Test to Assess The ‘Pancasila’ Student Profiles Construct: A Systematic Literature Review Wahyuni, Tri; Rahayu, Wardani; Naga, Dali Santun
JISAE: Journal of Indonesian Student Assessment and Evaluation Vol. 10 No. 2 (2024): JISAE: Journal of Indonesian Student Assessment and Evaluation
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jisae.v10i2.49632

The Situational Judgment Test (SJT) is very well known for measuring non-cognitive and non-academic attributes. Merdeka Curriculum contains the ‘Pancasila’ Student Profiles, those are global diversity, cooperation, critical reasoning, creativity and independence. This systematic literature review answers three basic questions, namely (1) in what fields is SJT used and for what purposes? (2) what dimensions in the Pancasila Student Profiles have been measured using the SJT method? , (3) how does technology influence the implementation of SJT? The Scopus database with the keyword Situational Judgment Test from 2013 to 2024 was explored and filtered using the PRISMA stages and measurement variables that were appropriate to the profile of Indonesian students. The results show that the medical sector uses SJT the most for student selection purposes. Indicators in the profile of Indonesian students namely collaboration, teamwork, empathy, cultural competence, understanding of ethnic diversity, decision-making skills, exploration, emotional management and emotional intelligence have appeared to be measured using the SJT method, and gamification, video and computer based test technology have been utilized in the implementation of SJT.

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